Abstract

Social networks can be considered as dynamics processes4, where, as time passes, individuals join, leave, create, or deactivate social ties altering the structure of the network2. However, the majority of existing works that analyze on-line social networks focus on the analysis of an specific snapshot. Only a few of them focus on how the social network evolves1,3.
In this paper, we focus on the analysis of interactions during a scheduled event in Twitter